Results 1 to 10 of about 1,238,639 (328)
Early Detection of Alzheimer’s Disease: Detecting Asymmetries with a Return Random Walk Link Predictor [PDF]
Entropy, 2020 Alzheimer’s disease has been extensively studied using undirected graphs to represent the correlations of BOLD signals in different anatomical regions through functional magnetic resonance imaging (fMRI).
Manuel Curado +3 more
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ENHANCING NETWORK PERFORMANCE WITH IMPROVED RANDOM EARLY DETECTION
Tạp chí Khoa họcCongestion has become an important issue affecting the performance of network systems. Active Queue Management (AQM) algorithms are crucial in ensuring network stability.
Vu Van Dien
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TUNING RANDOM EARLY DETECTION ROUTER MECHANISM FOR TCP-FRIENDLINESS
Journal of ICT, 2022 The Internet Engineering Task Force (IETF) has strongly recommended the use of the Random Early Detection (RED) active queue management mechanism in network routers (gateways) for controlling Internet congestion.
S. Hassan
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New RED-Type TCP-AQM Algorithms Based on Beta Distribution Drop Functions
Applied Sciences, 2022 In recent years, Active Queue Management (AQM) mechanisms to improve the performance of TCP/IP networks have acquired a relevant role. In this paper, we present a simple and robust RED-type algorithm together with a couple of dynamical variants with the ...
Angel Giménez +4 more
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Discrete and Continuous Models and Applied Computational Science, 2023 This work is the first part of a large bibliographic review of active queue management algorithms of the Random Early Detection (RED) family, presented in the scientific press from 1993 to 2023.
Ivan S. Zaryadov +3 more
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Planning of randomized early detection trials [PDF]
Statistical Methods in Medical Research, 2004 Consider a randomized clinical trial to evaluate the benefit of screening an asymptomatic population. Suppose that the subjects are randomized into a usual care and a study group. The study group receives one or more periodic early detection examinations aimed at diagnosing disease early, when there are no signs or symptoms.
Hu, Ping, Zelen, Marvin
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Utilizing random forest algorithm for early detection of academic underperformance in open learning environments [PDF]
PeerJ Computer Science, 2023 Background One of the primary benefits of Open Learning Environments (OLEs) is their scalability. OLEs provide flexible and accessible learning opportunities to a large number of students, often on a global scale.
Shikah Abdullah Albriki Balabied +1 more
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Random Lasing for Bimodal Imaging and Detection of Tumor
Biosensors, 2023 The interaction of light with biological tissues is an intriguing area of research that has led to the development of numerous techniques and technologies.
R. Gayathri +3 more
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International Journal of Electrical and Computer Engineering (IJECE), 2023 <span>Network congestion is still a problem on the internet. The random early detection (RED) algorithm being the most notable and widely implemented congestion algorithm in routers faces the problems of queue instability and large delay arising from the presence of an ineffectual singular linear packet dropping function.
Samuel Oluwatosin Hassan +6 more
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An Improvement over Random Early Detection Algorithm: A Self-Tuning Approach [PDF]
Journal of Electrical and Computer Engineering Innovations, 2014 Random Early Detection (RED) is one of the most commonly used Active Queue Management (AQM) algorithms that is recommended by IETF for deployment in the network.
S. Jamali, N. Alipasandi, B. Alipasandi
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